Intelligence abundance
AI lowers the cost of explanation, drafting, analysis, design, translation, and technical assistance—making output abundant before quality, purpose, and responsibility necessarily improve.
Debut nonfiction book · 2026
Scene / Knowledge archiveHow We Built AI
The Human Story of Intelligence, Power, and the Decisions We Cannot Delegate
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The central argument
The machine can answer. Who answers for the machine?
A global history of artificial intelligence from early calculation and symbolic reasoning to generative models, agents, governance, and the institutions needed to protect human judgment.
Use the machine. Question the answer. Protect human judgment.
Public release details will appear here once the destination is verified.
- print pages
- 407
- numbered chapters
- 68
- connected parts
- 9
- first edition
- 21 July 2026
Five claims
The ideas holding the story together.
The book moves beyond model releases to examine abundance, judgment, trust, concentrated power, and the different futures AI will create around the world.
The judgment economy
When answers become cheap, choosing the right problem, testing evidence, understanding context, rejecting convenient conclusions, and accepting responsibility become more valuable.
The trust gap
Capability can improve faster than confidence should. An AI system may become impressive before it becomes dependable enough for people or institutions to trust.
The one-person institution
AI gives individuals capabilities that once required teams. That expands opportunity while enabling institutional-scale influence without institutional-scale controls.
Many AI futures
Languages, laws, infrastructures, labor markets, cultures, and political systems will produce different AI futures that must remain compatible with dignity, correction, accountability, and meaningful human choice.
The reading journey
Nine parts. One history of capability becoming authority.
The Dream
Symbols, rules, machines, and the earliest human arguments about the nature of thought.
The Rebirth
How data, probability, faster computers, and learning from patterns brought AI back after its winters.
The Explosion
Deep learning becomes industrial infrastructure through compute, platforms, institutions, and global competition.
The Generative Revolution
Language becomes an interface to models that can produce text, images, code, audio, and video.
The Frontier Today, 2024–2026
Multimodal systems, reasoning models, agents, open models, science, regulation, and the reliability gap.
Impact, Risk, and Choice
Work, education, business, misinformation, privacy, law, AGI, and how young people can prepare.
The Questions People Avoid
Ownership, hidden costs, inequality, evidence, authority, timelines, and decisions machines should not make alone.
The Institutions We Must Build
Evaluation, security, creative rights, sovereignty, public infrastructure, verification, and accountable automation.
The Human Terms
Machine authority, meaningful human review, and what a good AI society should feel like.
Who this book is for
AI without the technical fog.
Written for readers who want to understand AI without being buried under technical language. No calculus or coding experience is required.
StudentsTeachersCreatorsFoundersWorkersPolicymakersParentsCitizens
Follow the human story
Read AI as a record of ambition, labor, institutions, failure, creativity, competition, and responsibility—not a parade of models.
Separate fluency from truth
A confident answer is not proof. Verification is now a basic civic and professional skill.
Watch the incentives
Every model sits inside money, compute, energy, data, labor, law, competition, and culture.
Compare regions without ranking humanity
Different societies carry different strengths and risks; global coverage should reveal those differences.
Keep judgment awake
AI can help people move faster. Speed is useful; responsibility remains human.
Beyond the narrative
A practical toolkit for thinking and acting.
The closing material turns the history into tools readers can use to inspect a claim, evaluate a system, prepare a team, and decide when automation should stop.
01
Milestones That Built AI
02
How AI Actually Works
03
How AI Is Built Step by Step
04
AI System Types
05
30-Day AI Readiness Plan
06
How to Check an AI Claim
07
AI Companionship and Mental Health
08
Common Myths About AI
09
AI Decision Checklist
10
Four Plausible AI Futures
11
AI Judgment Operating System
12
Reader’s Final Test
13
Casebook: Twelve Situations That Explain the AI Age
14
Global AI Capability Audit
Evidence & accountability
The book documents how it knows.
Historical claims draw on primary papers, archives, biographies, and established histories. Technical explanations preserve the important mechanism and limitation. Frontier claims use official documentation, research papers, regulators, and institutional reports available through June 2026.
AI assisted research, comparison, drafting, language revision, and production checks under author direction. It was not treated as an authority. Krishna accepts responsibility for the final text, interpretation, and errors.
- Notes and sources organized by chapter
- Public statements and primary-source voices
- Further reading
- Glossary of key terms
- Selected index
Digital edition
Designed to remain readable.
The English-language EPUB is built as a reflowable, navigable edition with a linked index and a reading order that works beyond one fixed screen size.
- Reflowable EPUB
- Linked table of contents
- Structural reading order
- Alt text for meaningful images
- Landmarks and page navigation
- 407 print-page markers
- Linked index
- No flashing, motion, or sound hazards
- Publisher
- Krishna Tayal
- Language
- English (US)
- Rights
- Copyright © 2026 Krishna Tayal. All rights reserved.
A global story, written from India
No country owns the future of intelligence.
Krishna writes from Greater Noida about a technology arriving through different languages, laws, costs, public infrastructures, and institutional capacities. The book asks whether those futures will widen old inequalities or expand capability without surrendering rights, agency, and judgment.
Continue the conversation
For interviews, reviews, publication enquiries, or conversations about the ideas in the book, contact the author directly.
author@krishnatayal.com